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Sustained Reductions in Online Search Interest for Communicable Eye and Other Conditions During the COVID-19 Pandemic: Infodemiology Study.

Michael S DeinerGerami D SeitzmanGurbani KaurStephen D McLeodJames ChodoshThomas M LietmanTravis C Porco
Published in: JMIR infodemiology (2022)
We demonstrate the low-cost and unbiased use of online search data to study how a wide range of conditions may be affected by large-scale interventions or events such as social distancing during the COVID-19 pandemic. Our findings support emerging clinical evidence implicating social distancing and the COVID-19 pandemic in the reduction of communicable disease and on ocular conditions.
Keyphrases
  • low cost
  • healthcare
  • mental health
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  • deep learning